Name
Abstract | ||
|---|---|---|
With the explosive development of advanced image reconstruction algorithms, there is an urgent need for acceleration of these algorithms to facilitate their use in practical applications. This paper describes our experience using graphics processing units (GPUs) for advanced MR image reconstruction from non-Cartesian data. We show that implementation of MR image reconstruction on NVIDIA CUDA-enabled GPUs can significantly accelerate the solution of this type of image reconstruction problem. Given the acceleration afforded by the GPU, we expect our strategy to be applied to other computationally intensive imaging algorithms. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ISBI.2009.5193297 | ISBI |
Keywords | Field | DocType |
biomedical MRI,computer graphics,coprocessors,image reconstruction,medical image processing,MR image reconstruction acceleration,NVIDIA CUDA enabled GPU,advanced image reconstruction algorithms,computationally intensive imaging algorithms,graphics processing units,nonCartesian data | Iterative reconstruction,Graphics,Computer vision,Algorithm design,Yarn,Computer graphics (images),Convolution,Computer science,Acceleration,Artificial intelligence,Coprocessor,Computer graphics | Conference |
Citations | PageRank | References |
1 | 0.41 | 7 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen-mei W. Hwu | 1 | 4322 | 511.62 |
| Deepthi Nandakumar | 2 | 1 | 0.41 |
| Justin P. Haldar | 3 | 350 | 35.40 |
| Ian C. Atkinson | 4 | 71 | 8.16 |
| Brad Sutton | 5 | 199 | 27.18 |
| Zhi-Pei Liang | 6 | 522 | 64.94 |
| Keith R. Thulborn | 7 | 71 | 23.53 |